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    <title>topic Re: PROC GLIMMIX in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61348#M2854</link>
    <description>Chapter 38&lt;BR /&gt;
Section: Details: GLIMMIX Procedure&lt;BR /&gt;
Subsection: Generalized Linear Mixed Models Theory&lt;BR /&gt;
Subsubsection: Aspects Common to Adaptive Quadrature and Laplace Approximation</description>
    <pubDate>Mon, 09 Aug 2010 13:52:51 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2010-08-09T13:52:51Z</dc:date>
    <item>
      <title>PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61346#M2852</link>
      <description>I am fitting a model with fixed and random effects, and making a prediction that involves a nonlinear function of the fixed effects estimates and predictions of the random effects. Is there a way to output the approximate prediction variance matrix (P) described on Pg 2786 of SAS/STAT® 9.22 User’s Guide - The GLIMMIX Procedure?&lt;BR /&gt;
&lt;BR /&gt;
If so I could apply the delta method in IML, using P from GLIMMIX.&lt;BR /&gt;
&lt;BR /&gt;
I can do this in NLMIXED, but my data set is large with many random effects and NLMIXED is slow whereas GLIMMIX is really fast (even with method=laplace).&lt;BR /&gt;
&lt;BR /&gt;
BTW, adding the laplace approximation to GLIMMIX was a great benefit.</description>
      <pubDate>Fri, 06 Aug 2010 18:50:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61346#M2852</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-08-06T18:50:33Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61347#M2853</link>
      <description>Not everyone has the documentation in book form.  To what section/subsection of the documentation does page 2786 refer?&lt;BR /&gt;
&lt;BR /&gt;
Details&lt;BR /&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;--&amp;gt; ??&lt;BR /&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;--&amp;gt; ??</description>
      <pubDate>Sat, 07 Aug 2010 21:44:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61347#M2853</guid>
      <dc:creator>Dale</dc:creator>
      <dc:date>2010-08-07T21:44:59Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61348#M2854</link>
      <description>Chapter 38&lt;BR /&gt;
Section: Details: GLIMMIX Procedure&lt;BR /&gt;
Subsection: Generalized Linear Mixed Models Theory&lt;BR /&gt;
Subsubsection: Aspects Common to Adaptive Quadrature and Laplace Approximation</description>
      <pubDate>Mon, 09 Aug 2010 13:52:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61348#M2854</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-08-09T13:52:51Z</dc:date>
    </item>
    <item>
      <title>PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61349#M2855</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; I have the same problem. Have you find the solution?&lt;/P&gt;&lt;P&gt;Thank you very much for reply.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 12 Jul 2011 16:05:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX/m-p/61349#M2855</guid>
      <dc:creator>Livi</dc:creator>
      <dc:date>2011-07-12T16:05:25Z</dc:date>
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